Aspects Based Sentiment Analysis: In Context of Product Prediction using NLP |
Author(s): |
| Mariya Zafar , Dr. A.P.J. Abdul Kalam Technical University (Lko) U.P; Dr. Shafeeq Ahmad, Dr. A.P.J. Abdul Kalam Technical University (Lko) U.P; Masood Ahmad, Dr. A.P.J. Abdul Kalam Technical University (Lko) U.P |
Keywords: |
| Aspects based Sentiment Analysis, NLP |
Abstract |
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Sentiment analysis involves building a system to explore users opinions created in reviews, comments, blog posts or tweets, concerning the product, policy or an issue. Given a set of texts discussing a particular entity (e.g., user reviews of a Smartphone), aspect-based sentiment analysis identifies distinguished aspects of the entity (e.g., battery, screen) and a median sentiment score per aspect. We have a tendency to tried to assist the customer who retailers online by suggesting the products that are ranked higher within the options he/she is searching for. Our aim for this paper is to maximise the product recommendations that are more relevant to a specific customer. Clearly, providing the products what the customer extremely desires can increase the sale. |
Other Details |
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Paper ID: IJSRDV5I30789 Published in: Volume : 5, Issue : 3 Publication Date: 01/06/2017 Page(s): 1310-1313 |
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